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# Platform Engineer

- **Company:** CRG
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $175,000.0 - $220,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Big Data, Cloud Computing, Code Review, Continuous Integration, Data Infrastructure, Relational Databases, DevOps, Distributed Data Store, Distributed Systems, Python (Programming Language), PostgreSQL, Machine Learning, Performance Tuning, Software Engineering, SQL Databases, Data Storage Management, Cloud Platform System, Reliability of Systems, Kubernetes, Infrastructure Automation Frameworks, Deployment Automation, Apache Kafka, Data Management, Machine Learning Operations, Terraform, Docker, Service Stack
- **Published:** October 17, 2026
- **Apply:** https://www.juju.com/job/2_166232844

## About the Role

We're interested in speaking with experienced Platform Engineers, Infrastructure Engineers or Software Engineers who have built and operated complex production environments., * 5+ years of professional software engineering experience, building and maintaining production systems.

 * Strong hands-on experience with AWS and cloud-native infrastructure.
 * Proven experience designing and supporting large-scale distributed systems.
 * Experience architecting data storage and retrieval platforms, including hot and cold storage solutions.
 * Strong knowledge of Kubernetes and Docker.
 * Experience implementing CI/CD pipelines, infrastructure as code and automated deployment processes.
 * Proficiency in Python and/or Go.
 * Experience working with relational databases, distributed databases or large-scale data platforms.
 * Strong understanding of system reliability, monitoring, observability and performance optimisation.
 * Ability to take ownership of systems throughout the full engineering lifecycle.

Desirable experience:

 * Experience with Terraform, ArgoCD, Helm and GitOps.
 * Knowledge of PostgreSQL, Kafka, S3 and vector databases.
 * Experience working with petabyte-scale data environments.
 * Experience supporting AI/ML infrastructure or data-intensive applications.
 * Previous exposure to FedRAMP, federal government systems or other highly regulated environments.
 * Experience mentoring engineers and contributing to technical architecture decisions.

Technology Environment

You'll be working with a modern technology stack that includes:

Cloud & Infrastructure: AWS, Terraform, S3, Infrastructure as Code

Containers & Orchestration: Kubernetes, Docker, Helm, ArgoCD

Software Engineering: Python, Go

Data & Storage: PostgreSQL, Vector Databases, Distributed SQL, Kafka, Object Storage

DevOps & Operations: CI/CD, GitOps, Observability, Automated Deployments

Why Consider This Opportunity?

This is an excellent opportunity for an experienced engineer who wants to work on technically challenging infrastructure projects with genuine ownership and influence.

## Description

Are you a Senior Platform Engineer who enjoys solving complex engineering challenges and building infrastructure that operates at serious scale?

We're working with an innovative, high-growth technology company looking to appoint an experienced Senior Platform Engineer to help design, build and scale its cloud infrastructure and data platforms.

This is an opportunity to work on highly distributed systems, managing petabyte-scale datasets and developing the infrastructure that supports advanced AI and machine learning applications.

You'll take ownership of critical platform components, from architecture and development through to deployment, optimisation and ongoing operations.

We're looking for someone who combines strong software engineering fundamentals with deep expertise in AWS, Kubernetes, distributed systems and DevOps practices.

The Role

As a Senior Platform Engineer, you'll play a key role in developing and maintaining the infrastructure that powers large-scale AI applications.

You'll be responsible for:

 * Designing, building and operating highly scalable cloud infrastructure and data platforms.
 * Developing systems capable of ingesting and processing petabyte-scale datasets.
 * Architecting large-scale data storage and retrieval solutions, including object storage, distributed databases and vector databases.
 * Optimising hot and cold storage strategies to improve performance, reliability and cost efficiency.
 * Building and managing containerised applications using Docker and Kubernetes.
 * Implementing automated deployments using GitOps principles and tools such as ArgoCD and Helm.
 * Developing and maintaining CI/CD pipelines and infrastructure as code using Terraform.
 * Supporting high-throughput messaging and streaming platforms.
 * Ensuring platform reliability, security, observability and performance across production environments.
 * Troubleshooting complex issues across application, infrastructure, networking and storage layers.
 * Supporting infrastructure operating within regulated environments, including federal compliance requirements.
 * Mentoring engineers through code reviews, technical discussions and knowledge sharing.